Author

Qunshu Lin

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#artificial intelligence Review Sep 2026

Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation

Harbor Adapters are developed that port more than 80 benchmarks to evaluate arbitrary agents, and validated through rigorous code review and parity experiments, and Harbor-Index is introduced, a curated set of 82 difficult, diverse, and high-quality tasks spanning 29 benchmarks to support more reliable and comprehensiv...

Lin Shi, Hao-Wei Lin, Zi-Xuan Zhu et al. · 1 citation

Jul 2026

OmniMapBench: Benchmarking Visual-Centric Reasoning on Diverse Map Documents

OmniMapBench is introduced to foster visual-centric reasoning for document understanding of LVLMs and exhibits higher VDI than established benchmarks, which quantitatively validates its focus on irreducible visual reasoning.

Yang Chen, Yunwen Li, Yufan Shen et al. · arXiv.org · 1 citation